def __call__(self, raw_results, cam):
# fire filter
cam_function = cam.function
cam_info = cam_function.get(self.func_name, {})
cam_reverse = cam_info.get("reverse", False)
filter_results = []
if cam_info.get("enable", False):
logging.info("_apply_{}_filter:: filtering...".format(
self.func_name))
cam_zones = cam_info.get("zones", [])
if cam_zones == []:
logging.info("apply_{}_filter:: zones: whole img".format(
self.func_name))
for result in raw_results:
if result[0] == 'person':
result_temp = copy.deepcopy(result)
result_temp[0] = "pata"
result_temp[2] = str(int(result_temp[2]) - 15)
result_temp[4] = str(int(result_temp[4]) + 15)
result_temp[5] = str(
3 * (int(result_temp[5]) - int(result_temp[3])) +
int(result_temp[5]))
filter_results.append(result_temp)
else:
logging.info("_apply_{}_filter:: zones: {}".format(
self.func_name, cam_zones))
for result in raw_results:
in_flag = False
if result[0] == "person":
result_temp = copy.deepcopy(result)
result_temp[0] = "pata"
result_temp[2] = str(int(result_temp[2]) - 15)
result_temp[4] = str(int(result_temp[4]) + 15)
result_temp[5] = str(
3 * (int(result_temp[5]) - int(result_temp[3])) +
int(result_temp[5]))
left_down_x = int(result[2])
right_down_x = int(result[4])
down_y = int(result[5])
check_point = {
"x": int((left_down_x + right_down_x) / 2),
"y": down_y
}
for zone in cam_zones:
check_point_inside = _isInsidePolygon(
check_point, zone)
if check_point_inside:
in_flag = True
if cam_reverse:
if not in_flag:
filter_results.append(result_temp)
else:
if in_flag:
filter_results.append(result_temp)
logging.info("_apply_{}_filter:: results: {}".format(
self.func_name, filter_results))
parse_results = reslove_result(filter_results, self.func_name)
return parse_results
def __call__(self, raw_results, cam):
# fire filter
cam_function = cam.function
cam_info = cam_function.get(self.func_name, {})
cam_reverse = cam_info.get("reverse", False)
filter_results = []
if cam_info.get("enable", False):
logging.info("_apply_{}_filter:: filtering...".format(
self.func_name))
cam_zones = cam_info.get("zones", [])
if cam_zones == []:
logging.info("apply_{}_filter:: zones: whole img".format(
self.func_name))
for result in raw_results:
if result[0] == 'huoyan':
filter_results.append(result)
else:
logging.info("_apply_{}_filter:: zones: {}".format(
self.func_name, cam_zones))
for result in raw_results:
in_flag = False
if result[0] == "huoyan":
min_point = {'x': int(result[2]), 'y': int(result[3])}
max_point = {'x': int(result[4]), 'y': int(result[5])}
for zone in cam_zones:
is_min_inside = _isInsidePolygon(min_point, zone)
is_max_inside = _isInsidePolygon(max_point, zone)
if is_min_inside or is_max_inside:
in_flag = True
if cam_reverse:
if not in_flag:
filter_results.append(result)
else:
if in_flag:
filter_results.append(result)
logging.info("_apply_{}_filter:: results: {}".format(
self.func_name, filter_results))
parse_results = reslove_result(filter_results, self.func_name)
return parse_results
def __call__(self, raw_results, cam):
# mask filter
cam_function = cam.function
cam_info = cam_function.get(self.func_name, {})
cam_reverse = cam_info.get("reverse", False)
filter_results = []
if cam_info.get("enable", False):
logging.info("_apply_{}_filter:: filtering...".format(
self.func_name))
cam_zones = cam_info.get("zones", [])
if cam_zones == []:
logging.info("apply_{}_filter:: zones: whole img".format(
self.func_name))
for result in raw_results:
if result[0] == 'movement':
filter_results.append(result)
else:
logging.info("_apply_{}_filter:: zones: {}".format(
self.func_name, cam_zones))
for result in raw_results:
in_flag = False
if result[0] == "movement":
left_leg_x = int(result[2])
right_leg_x = int(result[4])
leg_y = int(result[5])
check_point = {
"x": int((left_leg_x + right_leg_x) / 2),
"y": leg_y
}
for zone in cam_zones:
check_point_inside = _isInsidePolygon(
check_point, zone)
if check_point_inside:
in_flag = True
if cam_reverse:
if not in_flag:
filter_results.append(result)
else:
if in_flag:
filter_results.append(result)
logging.info("_apply_{}_filter:: results: {}".format(
self.func_name, filter_results))
parse_results = reslove_result(filter_results, self.func_name)
return parse_results
def __call__(self, raw_results, cam):
# leave filter
cam_function = cam.function
cam_info = cam_function.get(self.func_name, {})
cam_reverse = cam_info.get("reverse", False)
aggreagate_time = functl.get(self.func_name).get("aggreagate", 300)
filter_results = []
if cam_info.get("enable", False):
logging.info("_apply_{}_filter:: filtering...".format(
self.func_name))
cam_zones = cam_info.get("zones", [])
cam_detected_times = cam.detected_times
_, _, ts = clock.now()
if cam_zones == []:
logging.info("apply_{}_filter:: zones: whole img".format(
self.func_name))
logging.info(
"last detected time is:: {}, current time is:: {}".format(
clock._get_csttz_dt(cam_detected_times[0]),
clock._get_csttz_dt(ts)))
detected_flag = False
for result in raw_results:
if result[0] == 'person_body':
detected_flag = True
if detected_flag:
cam_detected_times = [ts]
camctl.update(cam.uuid,
{"detected_times": cam_detected_times})
else:
if (ts - cam_detected_times[0]) > aggreagate_time:
return_result = ["leave", 0.666, "0", "0", "1", "1"]
filter_results.append(return_result)
else:
logging.info("_apply_{}_filter:: zones: {}".format(
self.func_name, cam_zones))
if len(cam_detected_times) != len(cam_zones):
cam_detected_times = [ts] * len(cam_zones)
for result in raw_results:
in_flag = False
in_index = -1
if result[0] == "person_body":
left_leg_x = int(result[2])
right_leg_x = int(result[4])
leg_y = int(result[5])
check_point = {
"x": int((left_leg_x + right_leg_x) / 2),
"y": leg_y
}
for i, zone in enumerate(cam_zones):
check_point_inside = _isInsidePolygon(
check_point, zone)
if check_point_inside:
in_flag = True
in_index = i
if in_flag:
cam_detected_times[in_index] = ts
camctl.update(cam.uuid, {"detected_times": cam_detected_times})
for i, zone in enumerate(cam_zones):
detected_time = cam_detected_times[i]
logging.info(
"zone {} @ last detected time is:: {}, current time is:: {}"
.format(i, clock._get_csttz_dt(detected_time),
clock._get_csttz_dt(ts)))
if (ts - detected_time) > aggreagate_time:
xmin = str(zone[0]["x"])
ymin = str(zone[0]["y"])
xmax = str(zone[2]["x"])
ymax = str(zone[2]["y"])
return_result = [
"leave", 0.666, xmin, ymin, xmax, ymax
]
filter_results.append(return_result)
"""
if cam_reverse:
if not in_flag:
filter_results.append(result)
else:
if in_flag:
filter_results.append(result)
"""
logging.info("_apply_{}_filter:: results: {}".format(
self.func_name, filter_results))
parse_results = reslove_result(filter_results, self.func_name)
return parse_results